Instructions to use merve/beans-vit-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use merve/beans-vit-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="merve/beans-vit-224") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("merve/beans-vit-224") model = AutoModelForImageClassification.from_pretrained("merve/beans-vit-224", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4bb7b44973f50865374d17c7912368a5689475d16a0d031cc90fa956f19963d
- Size of remote file:
- 4.09 kB
- SHA256:
- 2f968d7d4cf09f43899dd28df08bf2d707dbeef7414e6dc46bd5285fd8e9e75f
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